Computational Scientist II

Tailored Management

South San Francisco, CA

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JOB DETAILS

SALARY

$39.03–$47.23 Per Hour

SKILLS

Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Automation Engineering, Bioinformatics, Biology, Biotech and Pharmaceutical, Cloud Computing, Code Reviews, Communication Skills, Computer Science, Continuous Improvement, DNA, Data Science, Dental Insurance, Documentation, Drug Development, GCP (Good Clinical Practices), Git, Microsoft Windows Azure, Pharmacology, Quality Control, Quality Monitoring, Regulations, Research & Development (R&D), Scientific Research, Simulation, Software Engineering, Source Code/Configuration Management (SCM), Structured Data, Team Player, Unstructured Data, Vision Plan

LOCATION

South San Francisco, CA

POSTED

1 day ago

Role: Computational Scientist II
Location: 1 DNA Way, South San Francisco, CA 94080
Duration: 12-Month Contract (potential for extension or conversion to full-time)
Pay Rate: $39.03 – $47.23/hour + Benefits
Benefits: Weekly Pay, Medical, Dental, and Vision Insurance

About the Opportunity
We are seeking a Computational Scientist II to design, develop, and deploy AI-driven systems that support scientific innovation. This role sits at the intersection of AI engineering and quantitative pharmacology and will partner closely with Modeling & Simulation Scientists and Clinical Pharmacologists to create scalable, reliable, and scientifically rigorous tools.
This work will directly contribute to accelerating drug development while enabling scientists to focus on higher-value research and decision-making.

Key Responsibilities
Build & Deploy Agentic LLM Workflows

Design and implement LLM-powered agent frameworks that automate and enhance scientific workflows within the CPP organization.
Develop human-in-the-loop systems enabling effective collaboration between scientists and AI tools through natural language interaction, feedback cycles, and structured outputs.
Integrate scientific references, templates, internal guidelines, and domain-specific context into AI workflows to maintain scientific and regulatory alignment.
Develop reusable workflow components and production-ready libraries with strong documentation and accessibility for users with varying technical backgrounds.

Develop Quality & Evaluation Frameworks

Build automated quality control processes to assess LLM-generated outputs for scientific accuracy, structure, and consistency.
Create evaluation frameworks to monitor output quality, efficiency improvements, and identify areas for optimization.
Maintain version-controlled evaluation logs and support reporting efforts for continuous improvement and stakeholder communication.

Collaborate & Drive Innovation

Partner with pharmacometricians, data scientists, and automation engineers to translate scientific needs into scalable AI solutions.
Stay current with emerging LLM technologies, agentic systems, and AI applications across pharmaceutical R&D.
Contribute to broader AI adoption initiatives by sharing best practices, lessons learned, and conducting trainings.

Qualifications
Education

Master’s or PhD in a quantitative or computational discipline such as:
- Computer Science
- Data Science
- Bioinformatics
- Computational Biology
- Pharmaceutical Sciences
- Related field
  OR
Bachelor’s degree with a minimum of 5 years of relevant industry experience.

Domain Experience

Experience or familiarity with pharmaceutical R&D, drug development, or clinical development environments is strongly preferred.
Exposure to quantitative sciences, life sciences research, or applying AI in scientific environments is highly valued.

Software Engineering & AI Expertise

Strong software engineering fundamentals and experience with:
- Git/version control
- Code reviews
- Documentation standards
- Collaborative development environments
Comfortable working with structured and unstructured data and learning new frameworks quickly.
Experience with AI/LLM solutions is highly preferred, including:
- Agentic frameworks (e.g., LangSmith)
- Retrieval-Augmented Generation (RAG)
- LLM workflow development
- Harness engineering
- Guardrail implementation
- LLM API integration
Exposure to cloud platforms such as AWS, GCP, or Azure is a plus.
Portfolio of relevant projects preferred.

Preferred Working Style

Strong communicator with the ability to bridge technical and scientific teams.
Self-driven and comfortable operating in evolving, ambiguous environments.
Curious, innovative, and motivated by applying AI to solve meaningful scientific challenges.

#TMN

About the Company

Tailored Management

CONNECTING TOP TALENT WITH TOP-TIER OPPORTUNITIES

Tailored Management is a global staffing firm that specializes in partnering with large organizations that run their contingent labor program in a VMS/MSP environment. We have the unique capacity to support programs across all scopes and geographic locations from a single headquarters, successfully elevating program performance across the board and minimizing costs, miscommunication and delivery times. But what do we really do? We bring together the best talent with the greatest opportunities.

COMPANY SIZE

1,000 to 1,499 employees

INDUSTRY

Staffing/Employment Agencies

FOUNDED

1968

WEBSITE

https://www.tailoredmanagement.com/

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